Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks

Age has important implications for health, and understanding how age manifests in the human body is the first step for a potential intervention. This becomes especially important for cardiac health, since age is the main risk factor for development of cardiovascular disease. Data-driven modeling of...

Descripción completa

Detalles Bibliográficos
Autores principales: Campello, Víctor M., Xia, Tian, Liu, Xiao, Sanchez, Pedro, Martín-Isla, Carlos, Petersen, Steffen E., Seguí, Santi, Tsaftaris, Sotirios A., Lekadir, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537599/
https://www.ncbi.nlm.nih.gov/pubmed/36211555
http://dx.doi.org/10.3389/fcvm.2022.983091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537599/
https://www.ncbi.nlm.nih.gov/pubmed/36211555
http://dx.doi.org/10.3389/fcvm.2022.983091

Ejemplares similares